Guoqing Lin
- Geophysics top 2%
- earthquake and tectonic studies 49
- High-pressure geophysics and materials 36
- Seismic Waves and Analysis 21
- Geological and Geochemical Analysis 17
- Seismic Imaging and Inversion Techniques 7
- Earthquake Detection and Analysis 4
- Microbiology top 5%
- Immunology and Allergy top 10%
- Artificial Intelligence top 5%
- Seismology and Earthquake Studies 16
- Genetics top 10%
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- Protease and Inhibitor Mechanisms 5
- Co-authors
- Peter M. ShearerEgill HaukssonP. OkuboFalk AmelungC. H. ThurberDieter P. ReinhardtRobin S. MatozaWenbiao Shen
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Guoqing Lin
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 115
- Geophysics 1.2k
- Microbiology 106
- Immunology and Allergy 57
- Artificial Intelligence 272
- Genetics 237
Countries citing papers authored by Guoqing Lin
This map shows the geographic impact of Guoqing Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guoqing Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoqing Lin more than expected).
Fields of papers citing papers by Guoqing Lin
This network shows the impact of papers produced by Guoqing Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guoqing Lin. The network helps show where Guoqing Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guoqing Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 8 | |
| 6 | 2019 | 3 | |
| 7 | 2018 | 26 | |
| 8 | 2014 | 43 | |
| 9 | 2014 | 7 | |
| 10 | 2013 | 135 | |
| 11 | Seismic Investigation of Magmatic Unrest Beneath Mammoth Mountain, California Using Waveform Cross-Correlation | 2012 | 4 |
| 12 | 2010 | 51 | |
| 13 | 2009 | 16 | |
| 14 | 2007 | 40 | |
| 15 | 2007 | 32 | |
| 16 | Estimating Local Vp/Vs Ratios Within Similar Earthquake Clusters | 2006 | 2 |
| 17 | 2006 | 61 | |
| 18 | 2004 | 53 | |
| 19 | Comprehensive waveform cross-correlation of southern California seismograms: Part 2. Event locations obtained using cluster analysis | 2003 | 5 |
| 20 | 2002 | 127 |
About Guoqing Lin
Guoqing Lin is a scholar working on Geophysics, Artificial Intelligence and Microbiology, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include earthquake and tectonic studies (49 papers), High-pressure geophysics and materials (36 papers), Seismic Waves and Analysis (21 papers), Geological and Geochemical Analysis (17 papers), Seismology and Earthquake Studies (16 papers), Seismic Imaging and Inversion Techniques (7 papers), Protease and Inhibitor Mechanisms (5 papers) and Earthquake Detection and Analysis (4 papers). The work is most often cited by research in Geophysics (1.2k citations), Microbiology (106 citations) and Immunology and Allergy (57 citations). Guoqing Lin has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Peter M. Shearer, Egill Hauksson, P. Okubo, Falk Amelung, C. H. Thurber, Dieter P. Reinhardt, Robin S. Matoza, Wenbiao Shen, Fang Peng and Weiti Cui. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.